Austin Jang
PHD Student at Metropolize AI
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolAustin Jang is a PhD student and AI practitioner in Berkeley with nine years of experience applying reinforcement learning and LLMs to real-world products and research. He has published RL work in top venues, led enterprise-grade LLM and agentic systems at Observe, and founded Metropolize AI to commercialize LLM-driven game character generation—winning the Grand Prize at UC Berkeley’s 2023 AI Hackathon. His work spans from building RAG-powered chatbots and agentic incident workflows to integrating graph attention models for microservice anomaly detection, reflecting a rare blend of research rigor and production engineering. Currently at Mila, he explores RL-driven agentic LLMs while drawing on prior distributed LLM and multi-GPU deployment experience; he also has a track record mentoring interns and coordinating academic-industry research collaborations.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS Electrical Engineering and Computer Science, Master of Science - MS Electrical Engineering and Computer Science at UC Berkeley College of Engineering
Github Skills (2)
rockets1
recovery1
Programming languages (3)
Github contributions (5)
Aphoh/temp_tc
Apr 2021 - Dec 2021
Contributions:2 reviews, 61 commits, 2 PRs in 8 months
Demosthen/ActiveRL
Jan 2023 - Feb 2024
Contributions:20 PRs, 125 pushes, 12 branches in 1 year 1 month
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